Responsibilities:

• Partner with cross-functional stakeholders (product, marketing, content, revenue) to translate business questions into analytical frameworks and deliverables
• Build and maintain dashboards, reports, and self-serve analytics tools that support day-to-day decisions
• Conduct deep-dive analyses to surface trends, opportunities, and risks across engagement, monetization, audience growth, and content performance
• Design and analyze experiments (A/B tests, feature rollouts) to validate hypotheses and quantify business impact
• Develop forecasting and quantitative models to support both short-term planning and long-term strategy
• Define and standardize key metrics across teams, ensuring consistency in how the business measures success
• Collaborate with Data Engineering on data quality, modeling, and pipeline improvements
• Mentor junior analysts and champion data literacy and a data-driven culture across the organization

Qualifications:

• 3+ years of experience in business analytics, BI, or data analytics roles (media, digital, or consumer tech industries strongly preferred)
• Strong proficiency in SQL — comfortable writing complex queries, optimizing performance, and working with large datasets in cloud data warehouses (BigQuery, Snowflake, Redshift, or similar)
• Hands-on experience with modern BI/visualization tools (Looker, Tableau, Power BI, Metabase, or similar)
• Working knowledge of Python (or R) for analysis, automation, and statistical modeling
• Solid grasp of statistics, experimentation methodology, and forecasting techniques
• Strong business acumen with deep understanding of media industry metrics (DAU/MAU, retention, ARPU, CTR, watch time, ad revenue metrics, etc.)
• Excellent communication skills — able to translate complex analyses into clear narratives for both technical and non-technical audiences
• Self-driven, comfortable with ambiguity, and able to manage multiple priorities under tight deadlines

Nice to Have:

• Familiarity with data modeling concepts and tools like dbt
• Experience with version control (Git) and code-based analytics workflows
• Exposure to machine learning or predictive modeling
• Prior experience mentoring analysts or leading analytics projects end-to-end

We don’t want people who think inside the box nor outside the box. For us there is no such thing as box. You are the universe of imaginations and possibilities.